\begin{table}[!h]

\caption{Linear models on anticlerical violence, distinguishing agrarian and non-agrarian employers' associations\label{tab:lm_alt_iv}}
\centering
\begin{threeparttable}
\begin{tabular}[t]{lcccccc}
\toprule
  & (1) & (2) & (3) & (4) & (5) & (6)\\
\midrule
Agrarian employers' assoc & 0.274* &  & 0.115 &  & 0.086 & \\
 & (0.109) &  & (0.118) &  & (0.081) & \\
Non-agrarian employers' assoc &  & 0.171* &  & 0.026 &  & 0.133+\\
 &  & (0.073) &  & (0.106) &  & (0.081)\\
CNT union & 0.090* & 0.089* & 0.091* & 0.089* & 0.030 & 0.077+\\
 & (0.044) & (0.044) & (0.045) & (0.044) & (0.045) & (0.046)\\
UGT union & 0.042 & 0.036 & 0.029 & 0.028 & 0.040 & 0.036\\
 & (0.026) & (0.027) & (0.027) & (0.024) & (0.025) & (0.027)\\
Employer (agrarian) $\times$ CNT union &  &  &  &  & 0.494** & \\
 &  &  &  &  & (0.178) & \\
Employer (agrarian) $\times$ UGT union &  &  & 0.258+ &  &  & \\
 &  &  & (0.140) &  &  & \\
Employer (not agr.) $\times$ CNT union &  &  &  &  &  & 0.093\\
 &  &  &  &  &  & (0.147)\\
Employer (not agr.) $\times$ UGT union &  &  &  & 0.216 &  & \\
 &  &  &  & (0.159) &  & \\
\midrule
$n$ & 3948 & 3948 & 3948 & 3948 & 3948 & 3948\\
$R^2$ & 0.43 & 0.43 & 0.44 & 0.43 & 0.44 & 0.43\\
Adj. $R^2$ & 0.43 & 0.43 & 0.43 & 0.43 & 0.43 & 0.43\\
Province FE & Yes & Yes & Yes & Yes & Yes & Yes\\
\bottomrule
\end{tabular}
\begin{tablenotes}[para]
\item \textit{Note: } 
\item + p $<$ 0.1, * p $<$ 0.05, ** p $<$ 0.01, *** p $<$ 0.001. Province FE not shown, clustered SE (province). Only municipalities that were at least one day under Republican control. Control variables not shown: population (log), leftist support 1936, days of republican control (log), illiteracy 1930, number of clerics (log).
\end{tablenotes}
\end{threeparttable}
\end{table}
